Datasets:
File size: 1,414 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Dried
'1': Healthy
'2': Unhealthy
splits:
- name: train
num_bytes: 2370443575
num_examples: 10042
download_size: 2060238079
dataset_size: 2370443575
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 10K<n<100K
---
# Lemongrass Disease Classification
A dataset for disease classification of Lemongrass leaves. The dataset contains 10,042 images across 3 classes: Dried, Healthy, Unhealthy.
Images per class:
- Dried: 2,968
- Healthy: 3,252
- Unhealthy: 3,822
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{patil2024comprehensive,
title={A comprehensive lemongrass (Cymbopogon citratus) leaf dataset for agricultural research and disease prevention},
author={Patil, Kailas and Suryawanshi, Yogesh and Patrawala, Alimurtuza and Chumchu, Prawit},
journal={Data in brief},
volume={53},
pages={110104},
year={2024},
publisher={Elsevier}
}
```
Patrawala, Alimurtuza; Suryawanshi, Yogesh; PATIL, Kailas (2023), “Lemongrass Leaf Image Dataset: Mobile-Photographed Image Compilation”, Mendeley Data, V1, doi: 10.17632/9tnbjsj6kn.1 |